Tengda Huang

412 citations
36 papers · 220 indexed · 1 hit paper · h-index 8
Topics
Liver Disease Diagnosis and Treatment (6 papers)SARS-CoV-2 and COVID-19 Research (3 papers)Cancer-related molecular mechanisms research (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Tengda Huang

29 papers receiving 218 citations

Hit Papers

Molecular mechanisms in liver repair and regeneration: fr...2025202620255101520

Peers

Tengda Huang
Comparison fields: 5 of 77
  • Molecular Biology 90
  • Cancer Research 57
  • Epidemiology 34
  • Physiology 32
  • Genetics 30
Replace Arif Bashir with:
Arif Bashir India
Lalu Muhammad Irham Indonesia
Yifei Shen China
Yujin Hong South Korea
Heng-Fu Bu United States
Linbing Qu China
Carla Alliaudi Italy
Jiaoxiang Wu China
Tengda Huang relative to Arif Bashir India Arif Bashir's profile →
Citations per field
00.5×1.5×
Arif Bashir · 1×
Citations per year

Countries citing papers authored by Tengda Huang

Since Specialization
Citations

This map shows the geographic impact of Tengda Huang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tengda Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tengda Huang more than expected).

Fields of papers citing papers by Tengda Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tengda Huang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tengda Huang. The network helps show where Tengda Huang may publish in the future.

Co-authorship network of co-authors of Tengda Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Tengda Huang. A scholar is included among the top collaborators of Tengda Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tengda Huang. Tengda Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Molecular mechanisms in liver repair and regeneration: from physiology to therapeuticsbreakdown →
20
2 0
3 0
4 0
5 0
6 3
7 1
8 2
9 3
10 2
11 1
12 5
13 2
14 4
15 8
16 9
17 9
18 8
19 48
20 16

About Tengda Huang

Tengda Huang is a scholar working on Modeling and Simulation, Hepatology and Infectious Diseases, having authored 36 papers that have together received 220 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (57 citations), Animal Science and Zoology (17 citations) and Hepatology (12 citations). Tengda Huang has collaborated with scholars based in China, United States and Mongolia. Frequent co-authors include Tian Wu, Yixing Li, Lei Zhou, Ziyi Song, Kefei Yuan, Weiwei Miao, Siqi Liu, Zeqiang Ma, Ao Du and Haojie Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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